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      The nature of active sites for carbon dioxide electroreduction over oxide-derived copper catalysts

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          Abstract

          The active sites for CO 2 electroreduction (CO 2R) to multi-carbon (C 2+) products over oxide-derived copper (OD-Cu) catalysts are under long-term intense debate. This paper describes the atomic structure motifs for product-specific active sites on OD-Cu catalysts in CO 2R. Herein, we describe realistic OD-Cu surface models by simulating the oxide-derived process via the molecular dynamic simulation with neural network (NN) potential. After the analysis of over 150 surface sites through NN potential based high-throughput testing, coupled with density functional theory calculations, three square-like sites for C–C coupling are identified. Among them, Σ3 grain boundary like planar-square sites and convex-square sites are responsible for ethylene production while step-square sites, i.e. n(111) × (100), favor alcohols generation, due to the geometric effect for stabilizing acetaldehyde intermediates and destabilizing Cu–O interactions, which are quantitatively demonstrated by combined theoretical and experimental results. This finding provides fundamental insights into the origin of activity and selectivity over Cu-based catalysts and illustrates the value of our research framework in identifying active sites for complex heterogeneous catalysts.

          Abstract

          The active sites over oxide-derived copper (OD-Cu) catalysts for CO 2 electroreduction are unclear. Here, the authors show atom-level product-specific active sites on OD-Cu surface models, where planar and convex square sites are responsible for ethylene while the step square site favours alcohols generation.

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          Generalized Gradient Approximation Made Simple

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            From ultrasoft pseudopotentials to the projector augmented-wave method

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              A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu.

              The method of dispersion correction as an add-on to standard Kohn-Sham density functional theory (DFT-D) has been refined regarding higher accuracy, broader range of applicability, and less empiricism. The main new ingredients are atom-pairwise specific dispersion coefficients and cutoff radii that are both computed from first principles. The coefficients for new eighth-order dispersion terms are computed using established recursion relations. System (geometry) dependent information is used for the first time in a DFT-D type approach by employing the new concept of fractional coordination numbers (CN). They are used to interpolate between dispersion coefficients of atoms in different chemical environments. The method only requires adjustment of two global parameters for each density functional, is asymptotically exact for a gas of weakly interacting neutral atoms, and easily allows the computation of atomic forces. Three-body nonadditivity terms are considered. The method has been assessed on standard benchmark sets for inter- and intramolecular noncovalent interactions with a particular emphasis on a consistent description of light and heavy element systems. The mean absolute deviations for the S22 benchmark set of noncovalent interactions for 11 standard density functionals decrease by 15%-40% compared to the previous (already accurate) DFT-D version. Spectacular improvements are found for a tripeptide-folding model and all tested metallic systems. The rectification of the long-range behavior and the use of more accurate C(6) coefficients also lead to a much better description of large (infinite) systems as shown for graphene sheets and the adsorption of benzene on an Ag(111) surface. For graphene it is found that the inclusion of three-body terms substantially (by about 10%) weakens the interlayer binding. We propose the revised DFT-D method as a general tool for the computation of the dispersion energy in molecules and solids of any kind with DFT and related (low-cost) electronic structure methods for large systems.
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                Author and article information

                Contributors
                jlgong@tju.edu.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                15 January 2021
                15 January 2021
                2021
                : 12
                : 395
                Affiliations
                [1 ]GRID grid.33763.32, ISNI 0000 0004 1761 2484, Key Laboratory for Green Chemical Technology of Ministry of Education, School of Chemical Engineering and Technology, , Tianjin University, ; 300072 Tianjin, China
                [2 ]GRID grid.33763.32, ISNI 0000 0004 1761 2484, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), ; 300072 Tianjin, China
                [3 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Chemistry, , University of Toronto, ; Toronto, ON Canada
                [4 ]GRID grid.8547.e, ISNI 0000 0001 0125 2443, Collaborative Innovation Centre of Chemistry for Energy Material, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Key Laboratory of Computational Physical Science, Department of Chemistry, , Fudan University, ; Shanghai, China
                [5 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Joint School of National University of Singapore and Tianjin University, , International Campus of Tianjin University, Binhai New City, ; 350207 Fuzhou, China
                Author information
                http://orcid.org/0000-0003-3509-699X
                http://orcid.org/0000-0002-8856-5078
                http://orcid.org/0000-0002-9100-4810
                http://orcid.org/0000-0002-6527-1667
                http://orcid.org/0000-0002-2906-5217
                http://orcid.org/0000-0001-7263-318X
                Article
                20615
                10.1038/s41467-020-20615-0
                7810728
                33452258
                3cd21f6d-f6f3-400d-97f0-005234452c50
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 August 2020
                : 14 December 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 21525626
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                heterogeneous catalysis,electrocatalysis
                Uncategorized
                heterogeneous catalysis, electrocatalysis

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